Proceedings of the Second International Conference on Knowledge Discovery and Data Mining

Abstract

This report contains papers from the second international conference on knowledge discovery and data mining. The general topics covered are: (a) combining data mining and machine learning; (b) data mining applications; (c) data mining and its applications: A general overview; (d) decision-tree and rule induction; (e) learning, probability, and graphical models; (f) mining with noise and missing data; (g) pattern-oriented data mining; (h) prediction and deviation; (j) scalability and extensibility of data mining systems; (j) spatial, text and multimedia data mining; (k) systems for mining large databases; (l) application of mathematical theories; (m) data mining: integration and application; (n) genetic algorithms; (o) mining association rules; (p) rule induction and decision tree induction; (q) spatial, temporal, and multimedia data mining; and (r) special data mining techniques.